Posted by **step778** at Nov. 15, 2013

2011 | pages: 298 | ISBN: 3642179096 | PDF | 4,2 mb

Posted by **DZ123** at July 21, 2011

Publisher: Springer | ISBN: 3642179096 | edition 2011 | PDF | 312 pages | 4,3 mb

This volume presents the state of the art of new developments, and some interesting and relevant applications of the OWA (ordered weighted averaging) operators. The OWA operators were introduced in the early 1980s by Ronald R. Yager as a conceptually and numerically simple, easily implementable, yet extremely powerful general aggregation operator.

Posted by **roxul** at Aug. 24, 2014

English | ISBN: 0977117014 | 2006 | 66 pages | PDF | 11 MB

Posted by **thingska** at May 13, 2017

English | 2017 | ISBN: 1542956544, 9781542956543, B01MSF3BV1 | 62 Pages | MOBI | 412.50 KB

Posted by **Rare-1** at May 3, 2017

ISBN: 0143129384 | 2017 | EPUB | 304 pages | 1.49 MB

Posted by **interes** at May 3, 2017

English | 2011 | ISBN: 1911299727, 1848162804 | 544 pages | PDF | 7,6 MB

Posted by **ChrisRedfield** at April 15, 2017

Published: 2015-05-24 | ISBN: 3662472678, 3662516624 | PDF | 278 pages | 28.61 MB

Posted by **Jeembo** at April 11, 2017

English | 2000 | ISBN: 3540675884 | 180 Pages | DJVU | 1.9 MB

The book systematically develops the nonlinear potential theory connected with the weighted Sobolev spaces, where the weight usually belongs to Muckenhoupt's class of Ap weights.

Posted by **Sangviniy** at March 23, 2017

English | July 2, 2008 | ISBN: 0387733833 | 245 Pages | PDF | 2.55 MB

This book introduces the first programming language for which average-case time analysis of its programs is guaranteed to be modular. The main time measure currently used for real-time languages (worst-case time) is well-known not to be modular in general, which makes average-case analysis notoriously difficult.

Posted by **Jeembo** at March 20, 2017

English | 2000 | ISBN: 3540674497 | 254 Pages | DJVU | 2.8 MB

The average-case analysis of numerical problems is the counterpart of the more traditional worst-case approach. The analysis of average error and cost leads to new insight on numerical problems as well as to new algorithms.